Experimental Probability: The number of times the outcome occurs compared to the total number of trials.
example: number of favorable outcomes over total number of trials.
Amelynn is flipping a coin. She finished the task one time, then did it again. Here are her results: heads: three times and tails: seven times. What is the experimental probability of the coin landing on heads?
Answer: 3/10
Explanation: Amelynn flipped the coin a total of 10 times, getting heads 3 times. Therefore, the answer is: 3/10.
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experimental probability
Because it is the process of deriving probability through repeated experiments.
Experimental probability is not something that needs to be, or even can be, answered. There may be particular instances in which there are questions about experimental probability and they can only be answered in the context on which they arose.
Theoretical probability is what should occur (what you think is going to occur) and experimental probability is what really occurs when you conduct an experiment.
The experimental probability of anything cannot be answered without doing it, because that is what experimental probability is - the probability that results from conducting an experiment, a posteri. This is different than theoretical probability, which can be computed a priori. For instance, the theoretical probability of rolling a 3 is 1 in 6, or about 0.1667, but the experimental probability changes every time you run the experiment